QueryData launches in preview today. It is a tool for translating natural language into database queries with near-100% accuracy. With QueryData, you can build agentic experiences across AlloyDB, Cloud SQL (for MySQL and PostgreSQL), and Spanner (for GoogleSQL). It builds upon Google Cloud’s #1 spot in the BiRD benchmark, one of the world’s most competitive benchmarks for natural-language-to-SQL – as well as upon Gemini-assisted context engineering.
Developers are already seeing the benefits from QueryData, including Hughes Network Systems, a leader in telecommunications, that deployed QueryData in production. “We have transformed user support operations with Google Cloud’s data agents. At the heart of our solution is QueryData, enabling near-100% accuracy in production. We are excited about the future of agentic systems!” – Amarender Singh Sardar, Director of AI, Hughes Network Systems
The opportunity for agentic systems: from intent to action
Agentic systems are evolving from human-advisory roles into active decision-makers. To execute business actions accurately, agents require precise information from operational databases (such as pricing, inventory, or transaction records).
With requests expressed in natural language, bridging the gap between conversational input and database records is essential. High-quality natural language-to-query capability is a critical requirement for enabling agents to take actions.
